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Related Experiment Videos

Prostate volume and cancer in screening programs

B Standaert1, A Alwan, V Nelen

  • 1Department of Urology, AZ Middelheim, Antwerp, Belgium.

The Prostate
|November 20, 1997
PubMed
Summary
This summary is machine-generated.

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Prostate cancer screening effectiveness varies with patient age and prostate volume. Logistic regression analysis helps identify optimal screening criteria for better biopsy outcome prediction.

Area of Science:

  • Urology
  • Oncology
  • Biostatistics

Background:

  • A randomized trial in Antwerp, Belgium, investigated prostate cancer screening.
  • The screening protocol included digital rectal examination (DRE), transrectal ultrasound (TRUS), and prostate-specific antigen (PSA) tests.
  • Intermediate results showed a low positive biopsy rate (35/125).

Purpose of the Study:

  • To identify key variables predicting biopsy outcomes in prostate cancer screening.
  • To evaluate the influence of age, PSA levels, and prostate volume on biopsy results.

Main Methods:

  • Multiple logistic regression analysis was applied to biopsy results (n=125).
  • Predictor variables included age, PSA, PSA-D, prostate volume, TRUS, and DRE, with continuous variables categorized into quartiles.

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  • Receiver Operating Characteristic (ROC) and sensitivity analyses were used to assess outcome robustness.

    • Main Results:

    • Prostate-specific antigen (PSA), digital rectal examination (DRE), and DRE combined with prostate volume best explained biopsy outcomes (82.3%).
    • Prostate volume was a more sensitive predictor than age.
    • PSA-D did not offer additional precision over PSA at high cut-off levels. Volume sensitivity increased in the 60-70 age group.

    Conclusions:

    • Uniform screening criteria for prostate cancer are challenging across diverse age groups due to prostate volume variations.
    • Logistic regression is effective for establishing prostate volume cut-off levels in screening.